Central Planning Modeling Engineer Jobs

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. We are seeking a Clinical Trial Operations Associate to join us in our mission to make brain monitoring easily accessible, interpretable, and actionable. In this role, you will collaborate with clinical research sites, project teams, and internal stakeholders to support the deployment of Beacon’s devices in clinical studies. This role focuses on study startup, site management, and live-study monitoring, ensuring the highest quality standards and compliance with regulatory requirements. This role is fully remote anywhere in the Pacific or Mountain Timezones in the U.S. and will require up to 5% travel. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York, and Paris. What success looks like Collaborate with project teams to support study startup activities. Act as the primary point of contact for clinical sites, ensuring smooth operations and clear communication. Provide training to research sites on the use of Beacon’s devices and study protocols, ensuring proper device usage and data collection. Monitor project progress, ensuring adherence to timelines, protocols, and quality standards. Maintain compliance with Good Clinical Practice (GCP), International Conference on Harmonization (ICH) guidelines, and regulatory standards. A

About the Team DoorDash's MDX team sits within Machine Learning Platform and builds the shared foundation that ML engineers across DoorDash, Wolt, and Deliveroo rely on to build and run ML-powered products. We work across the full ML lifecycle: feature engineering, training, evaluation, deployment, serving, and monitoring. Our mission is to increase the velocity and reliability of ML-driven business impact across the company. A central pillar of that work is agentic infrastructure. We are building systems that let agents accelerate and operate the ML workflow itself, including auto research, where agents explore and iterate on modeling ideas, and self-healing systems that detect, diagnose, and remediate failures in ML pipelines and production models with minimal human intervention. About the Role You will join a small, high-leverage team building the agentic layer of DoorDash's ML infrastructure. You'll design and build the systems that let agents accelerate how ML engineers across DoorDash, Wolt, and Deliveroo develop, ship, and operate models. That includes auto research systems that explore and iterate on modeling ideas, and agentic developer support that helps ML engineers move through training, evaluation, deployment, and debugging faster. You'll own well-scoped components end to end, from design through production, working across agent orchestration, tooling and integrations with our ML platform, evaluation of agent behavior, and observability. This role is ideal for an engineer with a strong backend foundation who is excited to apply AI agents to real engineering workflows, learns quickly, and wants to grow into technical leadership in a fast-moving area where model capabilities, tooling, and best practices change month to month. You're excited about this opportunity because you will… Build agentic systems that increase the velocity of ML development across DoorDash, Wolt, and Deliveroo, helping ML engineers get from idea to production model faster. Design an

Responsible for the scientific and clinical oversight of clinical trials in support of the development strategy for programs within the Inflammation & Immunology (I&I) portfolio. As an individual contributor, this role focuses on ensuring data integrity and quality for clinical trials across both early and late-stage development, based on portfolio and resourcing needs. The Senior Manager partners with other clinical and medical colleagues, clinical operations, and other functional lines for the successful implementation and execution of the clinical trial(s) within the assigned program. This role is central to ensuring studies are conducted with the highest scientific and ethical standards. The role is also expected to leverage AI tools and other innovative technologies to improve ways of working, enhance efficiency, reduce work redundancy and improve quality. JOB RESPONSIBILITIES Maintains current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment. Authors and reviews key clinical and regulatory documents including, but not limited to, protocols, study-level informed consent forms (ICFs), Investigator's Brochures (IBs), clinical study reports (CSRs), and regulatory submission components. Leads the clinical data review strategy, including the ongoing review of emerging clinical data for safety and efficacy trends. Presents relevant data to internal teams, governance bodies, and other stakeholders. Collaborates with cross-functional team members (e.g., Clinical Operations, Biostatistics, Regulatory Affairs, Clinical Pharmacology) to ensure trial objectives are met and activities are executed seamlessly. Provides scientific and clinical input for site training materials and supports responses to questions from investigators and site personnel regarding the protocol and study conduct.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you passionate about driving alignment, shaping culture, and enabling operational excellence? We are looking for a dynamic and strategic professional to support the Business Management function within the Human Resources & Corporate Communications Division. This role is ideal for someone who thrives at the intersection of operational excellence, process improvement, and strategic alignment. Our Impact: Our team ensures operational efficiency and strategic alignment across the organization. We lead business reporting and culture-building initiatives that drive process improvement. We serve as a central hub for collaboration, insights, and execution across teams. Your Impact: In this role, you will serve as a utility player and be expected to: Own and streamline internal reporting processes for timely and accurate delivery. Be part of a cross functional business management community working with peers in other divisions and the central business management team to maintain and improve critical group processes. Solve complex problems and independently drive initiatives to completion. Maintain and leverage data to craft updates that reflect progress and impact. Work well under pressure and effectively multi-task in a fast-paced environment. Ensure quality outcomes by applying critical judgement and getting others to do the same. Qualifications: 2-4 years of experience in business management. Strong project management skills with experience in reporting.<

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Specialist, Talent Acquisition (Technology Recruiter) Overview Technology is at the heart of everything we do, and our European Tech Hub in Dublin is central to that. We're looking for a Technology Recruiter to join our European Technology Talent Acquisition team. You'll help us hire the engineers, product people and technical specialists who build Mastercard's future. This isn't a generalist recruiting role. You'll focus on a group of related technology job families and become the go-to talent expert for them. You'll build deep knowledge of the skills, markets and people involved. You'll work with hiring managers across Europe and use a skills-based approach, modern tools and data to deliver great hiring outcomes and a candidate experience people remember for the right reasons. What you'll do • Own end-to-end hiring for your job families, from intake to offer, across Dublin and our wider European locations. • Lead skills-focused kick-off meetings with hiring managers to agree on role requirements, critical skills, level and how candidates will be assessed. • Build and maintain talent pipelines for your job families that stay open all the time, rather than filling one vacancy at a time. • Source and engage talent directly through LinkedIn, networking, communities, referrals, events and social media. •

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. Beacon Biosignals is seeking a Software Engineer IV to join our Datastore team. The Datastore sits at the heart of Beacon's platform. It defines our foundational data model and serves as the centralized repository and API for brain data collected from clinical studies, supporting the analytical tools, services, and applications used by our scientists, clinicians, and partners. This role emphasizes the design and scaling of backend systems for data infrastructure: PostgreSQL data models, Kafka-driven event pipelines, and the GraphQL API that makes scientific and clinical data usable - distinct from frontend development or end-user product surfaces. At this level you will lead the design of complex systems within the Datastore rather than individual components, own the pipelines that deliver dataset snapshots into our warehouse, and collaborate across platform, application and scientific teams to implement APIs that unlock new workflows in Beacon's expanding portfolio of clinical studies and digital health products. You should have experience writing complex SQL queries by hand, and should be prepared to reason about schema design, indexes, and query behavior as a matter of course. Two properties of our system that shape our work may influence your application. Our GraphQL API is generated from the PostgreSQL schema using PostGraphile, so a schema decis

About the opportunity As our new Treasury Trader you will autonomously drive core treasury operations, liquidity and cash management, and investments (with a primary focus on public sector financing). Operating with high autonomy, you will manage the short term Treasury book, central bank operations, assess bank’s liquidity position and monitor key KPIs. Acting as a crucial bridge across Group Risk, Accounting, and Regulatory Reporting, you will also as 1 LoD maintain audit readiness to ensure complete operational stability. You will also enjoy our hybrid work model - flexibility of working both from home, and from our office in Barcelona. In this role, you will: Trade Execution & Portfolio Management: Evaluate potential investment opportunities, then price (Bloomberg experience required), execute, and log transactions across Front Office tools, focusing primarily on public sector financing and short maturities. Proactively manage money market products and the short-term book, including Repo and Reverse Repo portfolios. Liquidity & Reserve Management: Oversee key liquidity functions, including Bundesbank cash pooling, Eurosystem minimum reserve requirements, overnight deposits, credit lines, and short-term portfolio hedging. Payment Systems & Central Bank Operations: Serve as the primary deputy for key payment and settlement infrastructure (Target, ESMIG, MACCS) and oversee central bank account management. Audit, Compliance & Governance: Support internal and external audits, enforce compliance with key banking regulations, and drive First Line of Defense (1LoD) risk management. Product & Tech Initiatives: Lead New Product Process (NPP) implementations, vendor onboarding, core banking system enhancements, and automated reporting solutions using SQL. What you need to be successful: Experience: Strong background in bank treasury operations, liquidity management, and money markets, with a preference for hands-on Repo/Reverse Repo a

Data Analyst V itD is seeking a Data Analyst V to analyze customer experience and customer support data for Reality Labs, uncover actionable insights, and improve customer satisfaction across the end-to-end customer journey. The ideal candidate will bring 8+ years of experience in data analytics or data science, strong SQL and Python or R programming skills, and expertise in statistical modeling, predictive analytics, and Generative AI to translate complex customer data into insights that drive business improvements and customer-centric decisions. Location : Remote – US (Candidates must be able to work Central or Pacific Time hours) Duration : 12 months, with potential for extension or conversion Schedule : 40 hours per week, Monday–Friday; no overtime. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Analyze large, complex datasets using SQL, Python or R, and statistical techniques to identify customer experience trends, pain points, and opportunities for improvement. Synthesize customer signals from surveys, digital analytics, behavioral data, operational metrics, and customer support interactions across the end-to-end customer journey. Apply statistical modeling, predictive analytics, machine learning, and natural language processing (NLP) to analyze customer support conversations, transcripts, and tickets to generate actionable insights. Develop customer segmentation and clustering models to identify common customer issues and recommend targeted solutions, including self-service resources. Integrate customer feedback with transactional, operational, and behavioral data to identify key drivers of customer satisfaction and business outcomes. Design, test, and launch customer experience and support metric scorecards to track KPIs and evaluate performance across digital, AI-powered, and human-assisted sup

Leidos is seeking a Principal Network Engineer specializing in enterprise wireless infrastructure to design, implement, and modernize a large-scale, geographically distributed wireless network environment. The successful candidate will serve as a senior technical engineer responsible for migrating Aruba wireless controllers to a centralized cloud-hosted environment, implementing Aruba Central, improving wireless network resiliency, and standardizing wireless security and access-control capabilities. This position requires extensive experience with Aruba wireless technologies, enterprise networking, wireless security, high availability, and network access control. The engineer will collaborate with cloud, network, cybersecurity, identity management, and monitoring teams to deliver reliable, scalable, and secure wireless infrastructure. The engineer will support architecture, implementation, integration, testing, migration, documentation, and transition to operations while providing technical direction to other engineering personnel. Primary Responsibilities Wireless Architecture and Controller Migration Design, engineer, and implement the migration of existing Aruba wireless controllers to a centralized cloud-hosted infrastructure. Deploy and configure Aruba Central for centralized wireless management, configuration standardization, monitoring, and operational visibility. Develop controller migration strategies, implementation procedures, validation plans, and rollback processes. Standardize NTP configurations across wireless controllers, access points, and supporting network infrastructure. Evaluate and establish wireless deployment standards, including bridge versus tunnel mode and campus versus remote architectures. Develop standardized configurations and deployment playbooks for geographically distri

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About the Role As a Staff Engineer in Facilities Project Management, you will provide strategic leadership for enterprise-wide facilities programs and initiatives across global manufacturing sites. You will promote collaboration across different functions, operational excellence, and technology transformation through strong program oversight, technical expertise, and influence on collaborators. Working closely with site engineering teams and senior leadership, you will develop and complete long-term strategies that improve organizational capabilities, establish standard methodologies, and accelerate innovation. Key Responsibilities Strategic Program Management Lead large-scale Facilities programs and central initiatives. Develop program roadmaps, achievements, important metrics, and governance processes. Manage project risks, issues, and mitigation plans. Align multi-functional teams to achieve business objectives. Provide executive updates and strategic recommendations. Cross-Site Collaboration & Standardization Drive knowledge sharing, guidelines, and lessons learned across sites. Build strong technical networks and collaborative communities. Lead standardization of engineering processes and operational practices. Support site startup, expansion, and technology transfer initiatives. Technical Leadership Act as a domain expert

RDQ427R630 This role is in-person and Bay-Area-based by design, so you can be in the room with founders and investors. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA, to a global organization with over 11,000 employees. Thousands of organizations, from small startups to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world and one of the top 5 most valuable private companies. About the Role: Databricks works with founders from the earliest days of their companies, when it is still just a team, an idea, and a lot of unproven AI. The Technical Business Development Manager for the Startup and VC Ecosystem owns the operational engine and the relationships behind that work, and the role is technical. You will run our startup program day to day, sit across from early-stage founders and talk seriously about their AI systems, produce a steady cadence of founder and investor events in San Francisco, and work hand in hand with the events teams at the venture firms whose founders we most want to reach. You will work closely with Databricks Ventures. This role is built to grow: you will start close to the program, the founders, and the events, and over time, take on more of the relationships and the strategy for how Databricks engages the startup ecosystem end-to-end. This role asks for four things that rarely sit in one person: the discipline of an operator who tracks every applicant and commitment without dropping one, the hands of a builder who is genuinely fluent in AI and can talk to a founder as a p

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. In this exciting and challenging role as a test engineer specializing in hardware and firmware, you will contribute to the development of new and modified EEG and Home Sleep Test systems that meet application, business, customer, and regulatory requirements. You will be working in the Device Team, reporting to the VP of Device Systems and working closely with hardware, firmware, system, and software engineers. You are responsible for hardware characterization and verification tests, firmware unit tests, integration tests, verification tests, system integration, root cause analysis, and documentation to meet quality requirements. Your goal as a hardware test engineer is to strive without reserve for the greatest quality and reliability in our products. To accomplish this goal, you will collaborate with other design, research, manufacturing and quality colleagues to develop products from concept to commercialization. You will contribute to product idealization, development, integration verification, and manufacturing. Additionally, you will document design and production processes in accordance with applicable product development procedures, quality and regulatory requirements. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York

WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK , one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK’s Product Suite: CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies. CloudSEK’s AIVigil is an AI-native Attack Surface Monitoring platform that continuously discovers, monitors, and secures exposed AI infrastructure, MCP servers, leaked AI credentials, vector databases, agentic workflows, and shadow AI across the internet. Key Milestones: 2016 : Launched our first product. 2018 : Secured Pre-series A funding. 2019 : Expanded operations to India, Southeast Asia, and the Americas. 2020 : Won the NASSCOM-DSCI Excellence Award for Security Product Company

Who We Are At MongoDB, we are building the future of data platforms with MongoDB Atlas; our fully managed, multi-cloud database service. The Infrastructure Security (InfraSec) team sits within Site Reliability Engineering (SRE) in the CTO organization. We are an engineering team dedicated to building the security infrastructure, primitives, and reusable controls that protect MongoDB Atlas across AWS, Azure, and Google Cloud (GCP). InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our New York City office or remotely in the eastern or central timezone. What You’ll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection. Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We’re Looking For Minimum Qualifications: 5+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering Strong coding skills in Go (Golang), Python, C, C++, or R

Who We Are At MongoDB, we are building the future of data platforms with MongoDB Atlas; our fully managed, multi-cloud database service. The Infrastructure Security (InfraSec) team sits within Site Reliability Engineering (SRE) in the CTO organization. We are an engineering team dedicated to building the security infrastructure, primitives, and reusable controls that protect MongoDB Atlas across AWS, Azure, and Google Cloud (GCP). InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our New York City office or remotely in the eastern or central timezone. What You’ll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection. Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We’re Looking For Minimum Qualifications: 5+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering Strong coding skills in Go (Golang), Python, C, C++, or R